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Responsible AI
AI boosts business but presents challenges. A Responsible AI framework allows leaders to harness its transformative potential while mitigating risks. Our systematic and technology-enabled approach to responsible AI provides a cross-industry and multidisciplinary foundation that fosters innovation at scale and mitigates risks throughout the AI lifecycle across your organization.
What does Responsible AI mean for business leaders?
The global artificial intelligence (AI) market is expected to experience unprecedented growth over the next several years. This growth potential is sparking fundamental shifts in value creation, operating models and the very nature of work across all industries and geographies. At the same time, the regulatory environment around AI is evolving quickly and new risks are emerging every day. To succeed in this environment and establish trust, organizations must leverage AI responsibly.
What EY can do for you
To meet the AI moment, having an agile, vigilant and purposeful responsible AI strategy in place that aligns with organizational values and drives business outcomes will enable your organization to:
- Compete: Gain a competitive advantage by building trust.
- Protect: Identify and safeguard AI assets and preserve value generated through the use of AI.
- Accelerate: Achieve speed to market while navigating legal and regulatory obligations with confidence.
Our Responsible AI solutions
Our approach can help you answer the following questions with confidence:
- Does your organization have line of sight into how is AI being used across functions?
- Does your organization have a strategy around responsible AI by design and an approach to de-risking AI?
- Are your organization’s AI deployments meeting its responsible AI standards and regulatory requirements?
- Does your organization have the right AI operating model and governance structure to provide efficient and effective oversight while accelerating speed to market?
- What are the risks associated with AI usage across the organization, how are those risks being controlled and measured consistently, and are they being managed effectively?
- Does your organization have automated processes and technologies in place to develop and deploy AI solutions consistently?
- Does your organization have line of sight into the ongoing performance of AI solutions to prevent unintended outcomes?
- How can your organization reimagine its talent acquisition and development strategy to harness the power of AI and accelerate growth?
The team
Our latest thinking
From autonomy to accountability: responsible AI in multi-agent systems
Discover how multi-agent systems are reshaping responsible AI. Learn key strategies for governance, accountability and ethical deployment.
Building the business case for responsible AI: 10 steps to success
Responsible AI is a business imperative for organizations to capitalize on billion-dollar opportunities safely. Learn more.
How ModelOps frameworks bridge AI governance and operational value
ModelOps capabilities enable responsible AI governance, regulatory compliance and scalable model deployment. Learn how.
Sustainable AI: How your organization can reduce environmental impact
Read this article for practical guidance on how to embed sustainability across AI development, from data to infrastructure.
How Microsoft 365 Copilot builds customer trust with responsible AI
With EY’s help, a leading AI solution became ISO 42001 certified and enhanced its responsible AI practices. Learn more in this case study.
Addressing AI bias: a human-centric approach to fairness
Remediating AI bias is essential for fostering responsible AI development and driving equitable outcomes. Read our report to learn more.
How responsible AI can unlock your competitive edge
Discover how closing the AI confidence gap can boost adoption and create competitive edge. Explore three key actions for responsible AI leadership.
4 pillars of a responsible AI strategy
Corporate AI adoption is surging amid genAI advancements. Establishing responsible AI policies is crucial to mitigate risks and ensure compliance.
‘Braking’ the risk speed limit: move fast, confidently
Discover how EY's AI-enabled platforms provide the 'brakes' for risk management, enabling organizations to innovate rapidly with confidence and control.
How to embrace AI in risk management
Discover how the rise of GenAI promises both unprecedented opportunities and new challenges for risk management.
Why AI fuels cybersecurity anxiety, particularly for younger employees
Workers say they are worried that they are putting their organizations — and careers — at risk, new EY survey says. Here’s what to do about it.
Responsible AI means finding the balance between risk and reward
Understand the key challenges, potential risks, and strategies for adopting AI responsibly with these practical guidelines
GenAI risks and challenges for the economy
Learn about the expected impact of GenAI on the labor market by exploring our four key findings regarding GenAI use.
How to navigate global trends in Artificial Intelligence regulation
Learn why the AI regulatory approach of eight global jurisdictions have a vital role to play in the development of rules for the use of AI.
